ipixz — CS2 Stats

SE76561198023721299[U:1:63455571]Steam profile ↗✓ No bans

1,985Tracked matches43%Win rate2021Tracked since

11,043Hours in CS17Hrs last 2 wks

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating26,776Top 25% of 819 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)

CSDB Leaderboard#876 of 13598 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	61.2%	52.8%
Shot accuracy	14.8%	13.7%
Kill/death ratio	0.86	1.08
Match win rate	45.9%	49.2%

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Performance scores

Aim84

Positioning61

Utility72

0–100 skill scores via Leetify.

Recent form

COLD48–49–3Last 10048%Win rateLWLLLLWWLL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.4

Aggression7.0

Utility7.2

Positioning6.1

Opening Duels2.8

Clutch2.4

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like Twistzz 94% playstyle similarity

Most alike: utility contribution, positioning profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 11.2° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 55% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.4

Positioning6.1

Utility7.2

Mechanics6.7

Opening Duels3.2

Win Impact2.8

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.03

first ⅓ avg 0.05 → last ⅓ avg 0.01

Reaction time506ms−55ms

first ⅓ avg 561ms → last ⅓ avg 506ms

Headshot accuracy19.1%−0.8%

first ⅓ avg 19.8% → last ⅓ avg 19.1%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.18Best rating — inferno 13–5

13–0Biggest win — dust2

4Longest win streak

13–14In matches decided by ≤2 rounds

16Overtime games

Map breakdown

infernoBest map · 63% over 19ancientWeakest map · 32% over 19

Map	Grade	Played	Record	Win rate	Avg rating
ancient	D	19	6–13	32%	0.02
inferno	A	19	12–7	63%	0.03
mirage	A	17	10–7	59%	0.01
nuke	C	14	5–9	36%	0.02
dust2	A	12	7–5	58%	0.02
cache	A	10	6–4	60%	0.04
anubis	D	6	2–4	33%	0.02
overpass	—	1	0–1	0%	-0.02
vertigo	—	1	0–1	0%	-0.08
boulder	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

267,667Lifetime kills

0.86K/D

8,869Matches

45.9%Match win rate

61.2%Headshot % · Top 25% of Level 10 players

14.8%Shot accuracy · Top 50% of Level 10 players

24,631MVPs

6,546Hours (in match)

12,636Bombs planted

4,155Bombs defused

Most-used weapons

AK-47114,038

M4A4 / M4A1-S46,527

P2000 / USP-S17,909

Desert Eagle14,852

Glock-1813,318

AWP13,013

P2507,928

Knife3,526

FAMAS3,289

Galil AR3,061

Lifetime map wins

16,905inferno

13,329dust2

9,023nuke

3,972vertigo

3,829cbble

3,752train

422italy

373office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,369Matches

53%Win rate

1.12Avg K/D

74.8ADR

43%Headshot %

Clutches & streaks

32%1v1 clutch win

14%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	72	47%	0.96	14.3
Ancient	68	54%	0.97	14.4
Anubis	61	44%	0.96	14.3
Nuke	51	55%	0.98	16.1
Vertigo	43	53%	1.08	16.2
Dust2	35	54%	1.01	13.1
Inferno	34	50%	1.19	14.3
Overpass	26	58%	1.03	16.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.9%Headshot accuracy

38.9%Accuracy (enemy spotted)

46.1%Spray accuracy

80.1%Counter-strafing

11.2°Preaim

501msReaction time

27.4%T opening success

55.4%CT opening success

0.66Enemies flashed / flash

9.1%Flash assists

6.37HE damage / grenade

22.16Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 27.3549% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	14–16	-0.02	15%	28 Aug →
ancient	13–7	0.04	19%	26 Aug →
mirage	7–13	-0.05	24%	26 Aug →
dust2	10–13	-0.01	19%	24 Aug →
overpass	8–13	-0.02	21%	24 Aug →
dust2	4–13	-0.05	13%	24 Aug →
anubis	16–13	-0.01	22%	23 Aug →
inferno	16–14	0.08	21%	22 Aug →
mirage	10–13	-0.01	13%	21 Aug →
inferno	9–13	0.01	21%	19 Aug →
dust2	13–10	0.12	17%	19 Aug →
anubis	8–13	0.11	16%	19 Aug →
cache	13–10	0.01	31%	18 Aug →
vertigo	10–13	-0.08	10%	18 Aug →
dust2	13–5	0.08	22%	17 Aug →
cache	9–13	-0.01	20%	17 Aug →
mirage	13–9	-0.04	18%	17 Aug →
anubis	11–13	-0.05	13%	15 Aug →
dust2	13–11	-0.03	15%	15 Aug →
ancient	1–13	-0.01	9%	15 Aug →
nuke	14–16	0.04	19%	15 Aug →
inferno	13–7	0.09	33%	8 Aug →
ancient	16–14	-0.04	20%	8 Aug →
nuke	13–10	0.04	24%	8 Aug →
mirage	8–13	-0.01	22%	5 Aug →
ancient	11–13	0.01	23%	5 Aug →
mirage	13–11	0.00	26%	5 Aug →
nuke	7–13	0.02	9%	5 Aug →
ancient	16–14	0.06	10%	5 Aug →
nuke	1–13	0.00	19%	5 Aug →
mirage	13–11	-0.01	8%	4 Aug →
ancient	14–16	0.00	24%	3 Aug →
ancient	11–13	0.09	31%	3 Aug →
mirage	11–13	-0.00	21%	3 Aug →
mirage	13–10	0.12	16%	2 Aug →
nuke	13–9	0.05	19%	2 Aug →
anubis	7–13	-0.01	13%	2 Aug →
ancient	12–16	-0.00	16%	31 Jul →
mirage	5–13	0.01	23%	31 Jul →
nuke	11–13	0.00	19%	31 Jul →
dust2	14–16	-0.03	18%	31 Jul →
nuke	13–4	0.08	16%	30 Jul →
inferno	13–4	0.00	22%	30 Jul →
dust2	13–11	0.08	24%	30 Jul →
ancient	11–13	-0.03	16%	29 Jul →
dust2	5–13	0.00	24%	29 Jul →
mirage	16–14	-0.02	19%	29 Jul →
ancient	4–13	-0.06	20%	29 Jul →
anubis	9–13	0.05	13%	28 Jul →
mirage	6–13	0.11	10%	28 Jul →
ancient	8–13	0.00	31%	28 Jul →
cache	0–7	-0.04	17%	27 Jul →
ancient	15–15	0.04	16%	27 Jul →
cache	13–11	-0.01	18%	27 Jul →
cache	4–13	0.09	16%	26 Jul →
mirage	10–13	-0.12	11%	26 Jul →
inferno	13–6	-0.03	16%	26 Jul →
inferno	13–8	-0.07	17%	24 Jul →
mirage	13–10	0.08	15%	23 Jul →
ancient	11–13	-0.06	3%	23 Jul →
nuke	3–12	-0.10	0%	18 Jul →
dust2	13–11	0.01	18%	16 Jul →
mirage	13–11	0.01	14%	16 Jul →
ancient	13–8	0.02	20%	16 Jul →
ancient	5–13	-0.03	26%	16 Jul →
inferno	13–6	0.12	20%	16 Jul →
boulder	5–13	-0.04	35%	16 Jul →
dust2	13–0	0.05	21%	15 Jul →
mirage	13–11	-0.02	22%	15 Jul →
ancient	13–4	0.15	14%	15 Jul →
mirage	13–5	0.02	20%	14 Jul →
inferno	14–16	0.07	20%	13 Jul →
inferno	15–15	0.05	10%	13 Jul →
mirage	13–8	0.08	19%	13 Jul →
dust2	9–13	-0.03	11%	13 Jul →
inferno	13–1	0.04	9%	13 Jul →
nuke	13–8	-0.00	33%	12 Jul →
cache	16–14	0.09	24%	12 Jul →
inferno	14–16	-0.00	14%	12 Jul →
inferno	13–8	-0.04	21%	12 Jul →
cache	13–5	-0.05	25%	12 Jul →
nuke	15–15	0.03	10%	11 Jul →
ancient	8–13	0.02	23%	11 Jul →
inferno	13–9	-0.01	26%	11 Jul →
nuke	9–13	0.03	10%	11 Jul →
ancient	13–5	0.14	18%	11 Jul →
cache	13–4	0.16	24%	11 Jul →
nuke	13–8	0.07	25%	11 Jul →
inferno	9–13	0.02	15%	11 Jul →
cache	6–13	0.03	32%	10 Jul →
nuke	11–13	0.05	14%	10 Jul →
ancient	5–13	-0.03	16%	9 Jul →
inferno	13–5	0.05	14%	9 Jul →
cache	13–5	0.16	25%	9 Jul →
inferno	8–13	0.03	16%	6 Jul →
inferno	13–5	0.18	31%	6 Jul →
inferno	8–13	0.02	28%	5 Jul →
dust2	13–9	0.09	24%	5 Jul →
anubis	13–9	0.05	24%	4 Jul →
inferno	13–7	0.04	16%	4 Jul →